Verafin - MITACs Student (May 2026)

We’re looking for a MITACs Student to join our team for the May 2026 semester. In this role, you’ll be responsible for a research project applying cutting edge AI techniques to help detect fraud or money laundering. You will bring projects from conception to implementation, apply advanced techniques using real-world data, write academic papers, and present findings.

Must Have

• Be an active Masters or PhD student at Memorial University for the entire duration of the internship (May 2026-August 2026).
• Bring a project from conception to implementation.
• Apply cutting edge techniques to fraud and money laundering detection problems using real world data.
• Write an academic paper/report based on research findings.
• Present results at Nasdaq Verafin’s AI Learning Seminar Series.
• Proficiency in multiple programming languages, including Python.
• Strong data analysis skills.

Good to Have

• Experience with machine learning frameworks and methodologies
• Familiarity with AWS services such as SageMaker, S3, and other cloud-based ML tools
• Knowledge of Large Language Models (LLMs) and their applications

Perks & Benefits

• Total rewards program (You&Q) covering wealth building, career growth, well-being, and family care.
• Hybrid work model (NasdaqBlend) offering flexibility.

The Role

We’re looking for a MITACs Student to join our team for the May 2026 semester. In this role, you’ll be response for a research project applying cutting edge AI techniques to help detect fraud or money laundering.

NOTE: Applicants MUST be an active Masters or PhD student at Memorial University for the entire duration of the internship.

What You'll Do:

• Bring a project from conception to implementation.
• Apply cutting edge techniques to fraud and money laundering detection problems using real world data.
• Write an academic paper/report based on research findings.
• Present results at Nasdaq Verafin’s AI Learning Seminar Series.

What We're Looking For:

• University students who are currently and will be enrolled in a Masters or PhD. Program from May 2026-August 2026.
• Ability to work both as an independent researcher and as a member of a team.
• Proficiency in multiple programming languages, including Python.
• Strong data analysis skills.
• A deep desire to learn new things.

Nice-to-Have:

• Experience with machine learning frameworks and methodologies
• Familiarity with AWS services such as SageMaker, S3, and other cloud-based ML tools
• Knowledge of Large Language Models (LLMs) and their applications

NOTE: Applicants MUST be an active Masters or PhD student at Memorial University for the entire duration of the internship.